Run
322954

Run 322954

Task 3062 (Supervised Classification) white-clover Uploaded 26-03-2015 by Jan van Rijn
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Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.5643
Per class
Cross-validation details (33% Holdout set)
F measure
0.4649
Per class
Cross-validation details (33% Holdout set)
Kappa
-0.0526
Cross-validation details (33% Holdout set)
KB relative information score
-0.2029
Cross-validation details (33% Holdout set)
Mean absolute error
0.2877
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2619
Cross-validation details (33% Holdout set)
Number of instances
20
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.4886
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.45
Cross-validation details (33% Holdout set)
Prior entropy
1.4097
Cross-validation details (33% Holdout set)
Recall
0.45
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.0982
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3505
Cross-validation details (33% Holdout set)
Root mean squared error
0.467
Cross-validation details (33% Holdout set)
Root relative squared error
1.3327
Cross-validation details (33% Holdout set)
SciMark benchmark
1354.3488
UserCPU time millis
260
Cross-validation details (33% Holdout set)
UserCPU time millis training
260
Cross-validation details (33% Holdout set)